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Potential to map soil salinity using inversion modelling of EM38 sensor data

机译：使用EM38传感器数据的反转建模映射土壤盐度的潜力

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Soil salinization limits agricultural productivity and can ultimately cause desertification and land abandonment. Traditionally soil salinity is assessed using soil sampling methods for laboratory determinations. These are not representative of soil properties at management scales and are highly time and work consuming, resulting in costly surveys. Recent research is revolutionizing how soil information can be obtained quickly and cheaply by using a state-of-the-art electromagnetic (EM) instrument and inversion techniques in conjunction with soil sampling results to generate high-resolution effective conductivity models and soil salinity maps. In this study, located in Lezíria Grande, Portugal, an EM survey was performed at an experimental site to map the spatial variability of soil salinity. EM data were collected using an EM38 instrument deployed at different heights and orientations. The conductivity model obtained from joint inversion of EM data shows a high correlation with conductivity data from soil sampling. This has permitted the rapid development of a model of soil salinity.
机译：土壤盐渍化限制农业生产力，最终可能导致荒漠化和陆地遗弃。使用用于实验室测定的土壤采样方法评估传统的土壤盐度。这些不是管理尺度的土壤性质的代表，并且是高度的时间和工作，导致昂贵的调查。最近的研究是通过使用最先进的电磁（EM）仪器和反转技术与土壤采样结果结合产生高分辨率有效电导率模型和土壤盐度图，彻底改变土壤信息如何快速和廉价地获得土壤信息。在这项研究中，位于葡萄牙Lezíria格兰德，在一个实验部位进行了EM调查，以映射土壤盐度的空间变异性。使用部署在不同高度和方向的EM38仪器收集EM数据。从EM数据的关节反转获得的导电模型显示出与土壤采样的电导数据的高相关性。这允许迅速发展土壤盐度模型。

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